New Python-based code tools and tutorials are now available to users of EUMETSAT data streams.
Monday, 07 September 2020
As part of our training, user support, and science studies, we have developed various Python-based tools and tutorials to help users to learn about, and work with, the data available from the satellites we operate and their associated data services.
The EUMETlab collection of repositories is hosted on the EUMETSAT gitlab at https://gitlab.eumetsat.int/eumetlab. The repositories include collections of thematic Jupyter notebooks for training, as well as short pieces of Python code that help users to access our data service APIs and to apply processing methods developed during science studies.
The current selection of repositories cover atmospheric composition training, downloading batches of Sentinel data using the API of the Copernicus Online Data Access (CODA), and calculation of Inherent Optical Properties from Ocean Colour data.
Each repository is provided with documentation detailing the recommendations for suitable Python environments, how to use the code provided, and licensing conditions.
A number of other repositories are currently in development, covering other thematic topics for training, and to support users in their use of data and services provided by EUMETSAT, so check back regularly for updates.
If you have questions or feedback on any of the repositories provided, please contact our User Service Helpdesk.